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» Finding Structure in Reinforcement Learning
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NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 11 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
WWW
2010
ACM
15 years 4 months ago
Web-scale knowledge extraction from semi-structured tables
A wealth of knowledge is encoded in the form of tables on the World Wide Web. We propose a classification algorithm and a rich feature set for automatically recognizing layout tab...
Eric Crestan, Patrick Pantel
92
Voted
WETICE
1999
IEEE
15 years 4 months ago
Here Is the Knowledge-Where Should I Put It?
In order to design useful knowledge media spaces to knowledge workers it is essential that we understand the nature of the work conducted and the knowledge applied in real setting...
Peter H. Carstensen, Ulrika Snis
97
Voted
HRI
2006
ACM
15 years 5 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
SIAMCOMP
2008
107views more  SIAMCOMP 2008»
14 years 11 months ago
Holographic Algorithms
Leslie Valiant recently proposed a theory of holographic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algo...
Leslie G. Valiant